ABSTHACFThe effect of source coherence on the capabilities of classical, minimum energy (ME), and linear predictive (LP) array processing algorithms to estimate the bearings of two equal-energy sources is examined. Source coherence is shown to adversely affect the resolution and detection capabilities, as well as the bias characteristics, of all three algorithms. For linear arrays of equally-spaced sensors (LES arrays), the superior resolution capability of the LP algorithm is demonstrated. However, the LP algorithm is least capable of detecting highly coherent sources. The estimates of source bearing produced by each algorithm are shown to be asymptotically biased.

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Abstract-This paper presents a useful extension for an existing algorithm of capacitance sensitivity computation with respect to multiple geometric variations. The existing algorithm is applicable for BEM-based capacitance extraction tools and provides good accuracy results. Using the Schur complement technique, the extended algorithm can achieve an even better accuracy at a modest increase of computational cost. With such extension, the enhanced algorithm becomes more flexible in the sense that it is able to provide different solutions for different application requirements: high efficiency with good accuracy or high accuracy with modest time cost.